2012-01-08
Pipelines Inspection Using Magnetic Induction Tomography Based on a Narrowband Pass Filtering Method
By
Progress In Electromagnetics Research M, Vol. 23, 65-78, 2012
Abstract
Pipelines are the most common apparatus in industries; therefore, the need for inspection during the manufacturing, construction and the operation stage is inevitable and invaluable. Magnetic Induction Tomography (MIT) is a new type of tomography technique that is sensitive to the electrical conductivity of objects.~It has been shown that the MIT technique is appropriate for imaging materials with high electrical conductivity contrasts; hence, the majority of the MIT systems were designed for detecting metallic objects. In this paper, MIT technique was proposed for pipeline inspection. Structural damages of the outer surface of the pipe were considered in this study. Nonetheless, it is challenging to use the traditional MIT pixel based reconstruction method (PBRM) as a suitable pipelines inspection tool because of the limited resolution. A narrowband pass filtering method (NPFM) of imaging pipe geometry was developed as a suitable image reconstruction method.~The proposed method can overcome the resolution limitations and produce useful information of the pipe structure.~This paper shows the comparative results from the novel NPFM and from traditional PBRM. While the PBRM fails to detect damages in outer structure of the pipe the NPFM successfully indentifies these damages. The method has been verified using experimental data from very challenging test samples. It is well known that using a coil array with an imaging region of 100 mm the PBRM based MIT can retrieve information with accuracy of about 10 mm (about 10%). With proposed NPFM the information on a resolution of 2 mm (which is about 2%) can be detected using the same measurement data.
Citation
Lu Ma, Hsin-Yu Wei, and Manuchehr Soleimani, "Pipelines Inspection Using Magnetic Induction Tomography Based on a Narrowband Pass Filtering Method," Progress In Electromagnetics Research M, Vol. 23, 65-78, 2012.
doi:10.2528/PIERM11111109
References

1. Griffths, H., "Magnetic induction tomography," Meas. Sci. Technol., Vol. 12, 1126-1131, Dec. 2001.
doi:10.1088/0957-0233/12/8/319        Google Scholar

2. Dyck, D. N., D. A. Lowther, and E. M. Freeman, "A method of computing the sensitivity of the electromagnetic quantities to changes in the material and sources," IEEE Trans. on Magn., Vol. 3, No. 5, Sep. 1994.        Google Scholar

3. Ktistis, C., D. W. Armitage, and A. J. Peyton, "Calculation of the forward problem for absolute image reconstruction in MIT," Physiol. Meas., Vol. 29, S455-S464, 2008.
doi:10.1088/0967-3334/29/6/S38        Google Scholar

4. Peyton, A. J., Z. Z. Yu, and G. M. Lyon, "An overview of electromagnetic inductance tomography: Description of three different systems," Meas. Sci. Technol., Vol. 7, No. 3, 261-271, Mar. 1996.
doi:10.1088/0957-0233/7/3/006        Google Scholar

5. Korjenevsky, A., V. Cherepenin, and S. Sapetsky, "Magnetic induction tomography: Experimental realization," Physiol. Meas., Vol. 21, No. 1, 89-94, 2000.
doi:10.1088/0967-3334/21/1/311        Google Scholar

6. Scharfetter, H., K. Helmut Lackner, and J. Rosell, "Magnetic induction tomography: Hardware for multi-frequency in biological tissue," Physiol. Meas., Vol. 22, No. 1, 131-146, Feb. 2001.
doi:10.1088/0967-3334/22/1/317        Google Scholar

7. Ma, X., A. J. Peyton, S. R. Higson, A. Lyons, and S. J. Dickinson, "Hardware and software design for an electromagnetic induction tomography (EMT) system applied to high contrast metal process applications," Meas. Sci. Technol., Vol. 17, No. 1, 111-118, 2006.
doi:10.1088/0957-0233/17/1/018        Google Scholar

8. Coveney, J. A., M. H. Pham, A. K. Kyllo, and N. B. Gray, "Comparison of modeling approaches for the eddy current problem as applied to the geometry of a taphole," Meas. Sci. Technol., Vol. 17, No. 2, 340-352, 2006.
doi:10.1088/0957-0233/17/2/015        Google Scholar

9. Hansen, P. C., "Rank-deficient and discrete ill-posed problems: Numerical aspects of linear inversion," Society for Industrial and Applied Mathematics, Philadephia, 1998.        Google Scholar

10. Soleimani, M. and W. R. B. Lionheart, "Image reconstruction in three-dimensional magnetostatic permeability tomography," IEEE Trans. on Magn., Vol. 41, No. 4, 1274-1279, 2005.
doi:10.1109/TMAG.2005.845158        Google Scholar

11. Soleimani, M., "Sensitivity maps in three-dimensional magnetic induction tomography," Insight, Vol. 48, No. 1, 39-44, 2006.
doi:10.1784/insi.2006.48.1.39        Google Scholar

12. Wei, H.-Y. and M. Soleimani, "Three-dimensional magnetic induction tomography imaging using a matrix free Krylov subspace inversion algorithm," Progress In Electromagnetics Research, Vol. 122, 29-45, 2012.
doi:10.2528/PIER11091513        Google Scholar

13. Soleimani, M., "Simultaneous reconstruction of permeability and conductivity in magnetic induction tomography," Journal of Electromagnetic Waves and Applications, Vol. 23, No. 5-6, 785-798, 2009.
doi:10.1163/156939309788019822        Google Scholar

14. Soleimani, M., C. N. Mitchell, R. Banasiak, R. Wajman, and A. Adler, "Four-dimensional electrical capacitance tomography imaging using experimental data," Progress In Electromagnetics Research, Vol. 90, 171-186, 2009.
doi:10.2528/PIER09010202        Google Scholar

15. Banasiak, R., R. Wajman, D. Sankowski, and M. Soleimani, "Three-dimensional nonlinear inversion of electrical capacitance tomography data using a complete sensor model," Progress In Electromagnetics Research, Vol. 100, 219-234, 2010.
doi:10.2528/PIER09111201        Google Scholar

16. Goharian, M., M. Soleimani, and G. R. Moran, "A trust region subproblem for 3D electrical impedance tomography inverse problem using experimental data," Progress In Electromagnetics Research, Vol. 94, 19-32, 2009.
doi:10.2528/PIER09052003        Google Scholar

17. Catapano, I., F. Soldovieri, and L. Crocco, "On the feasibility of the linear sampling method for 3D GPR surveys," Progress In Electromagnetics Research, Vol. 118, 185-203, 2011.
doi:10.2528/PIER11042704        Google Scholar

18. Flores-Tapia, D., M. O'Halloran, and S. Pistorius, "A bimodal reconstruction method for breast cancer imaging," Progress In Electromagnetics Research, Vol. 118, 461-486, 2011.
doi:10.2528/PIER11050408        Google Scholar

19. Asimakis, N. P., I. S. Karanasiou, and N. K. Uzunoglu, "Non-invasive microwave radiometric system for intracranial applications: A study using the conformal L-notch microstrip patch antenna," Progress In Electromagnetics Research, Vol. 117, 83-101, 2011.        Google Scholar